Machine Learning Engineer

Norton Blake; Remote; GBP 85,000 - 100,000; Full time

Job summary

A leading AI solutions company is seeking a permanent ML / AI Engineer to enhance their team. The ideal candidate should have strong experience with GenAI and ML models, as well as proficiency in writing production-ready Python code. Responsibilities include building and integrating ML models into applications, writing code for model inference, and improving existing systems. This is a fully remote position offering a competitive salary.

Qualifications

• Strong experience with GenAI and ML models.
• Proficiency in writing production-ready code.
• Experience in integrating ML models into applications.

Responsibilities

• Build and integrate ML models into applications.
• Write production-ready code for model inference.
• Evaluate AI workflows for automation.

Skills

Deploying AI/ML applications in cloud environments

Production-ready Python coding

Understanding system design best practices

Working with generative AI

Strong communication skills

Desire to learn new technologies

Tools

Azure

FastAPI

gRPC

Job description

ML / AI Engineer (Python / Azure), Fully Remote, £100,000 per annum

My client, a leading AI solutions company are currently looking to strengthen their team and bring on an ML / AI Engineer on a permanent basis. the successful candidate will have strong experience with GenAI, ML Models as well as coding in Python.

The role

Build and integrate ML models into existing and new applications. Write production‑ready code, supporting model inference and logging. Build and evaluate AI workflows and agents for automating various tasks. Containerise applications and prepare them for deployment. Identifying ways of improving how existing systems work. Understanding client requirements across various domains and converting them into products and features.

What we are looking for

• Experience in deploying AI / ML applications into production environments, specifically in Cloud environments.
• Experience in writing production-ready Python code, with a strong technical foundation grounded in engineering best practices.
• Understanding of system design best practices (e.g. ports and adapters), specifically understanding how to develop maintainable and future-proof applications.
• Familiarly working with generative AI, with an understanding of how to build reliable systems around the technology.
• Strong communications skills, with an ability to collaborate with various teams across product, sales, data science and software engineering.
• Strong desire to learn new technologies and methodologies, and apply them to tackle complex problems across various domains.

Nice to haves

• Experience working with Azure.
• Experience developing high-performance APIs with frameworks like FastAPI and gRPC.

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